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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 9899
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    Explanations

    words related to legal and financial contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations, events, and entities related to archaeological and historical contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ".[
    -0.55
    CLASSIFIED
    -0.53
    ).[
    -0.52
    Bey
    -0.52
    !".
    -0.50
    %).
    -0.49
    =/
    -0.48
    tro
    -0.48
    alien
    -0.48
    pac
    -0.47
    POSITIVE LOGITS
     onwards
    0.68
     partName
    0.55
    »Ĵ
    0.54
     (~
    0.53
     ensured
    0.52
     mirrors
    0.52
    inces
    0.51
     onward
    0.51
     Marino
    0.50
     Salvador
    0.50
    Activations Density 0.729%

    No Known Activations